Staff Engineer - ML Operations - USA Remote
Tasks
- Build experiment tracking model registry and versioning
- Create ML self service tooling and golden paths
- Design and operate model serving for batch and low latency inference
- Develop scalable training and inference pipelines
- Implement CI CD and safe model deployment
- Implement model lineage and reproducibility
- Manage GPU and accelerated compute efficiency
- Monitor model performance data drift and latency
- Own end to end ML lifecycle and deployment
- Provide technical leadership on MLOps standards
- Set up automated retraining and alerting
Perks/Benefits
- 401k
- Flexible work arrangements
- Medical/Dental/Vision insurance
- Paid time off
- Remote work
- Travel up to 10 percent
Skills/Tech-stack
Airflow | Autoscaling | Azure | Azure ML | Batching | Blue-Green Deployment | Blue/green | CI/CD | CUDA | Caching | Canary Deployment | Dagster | Docker | GPU scheduling | Grafana | IaC | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Nextflow | Observability | OpenAI | OpenTelemetry | Prefect | Prometheus | Python | Quantization | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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